UNABLE TO UNDERSTAND WEEK 1 - LAB 1 OF advanced learning algorithms (Course 2)

I am UNABLE TO UNDERSTAND WEEK 1 - LAB 1 OF advanced learning algorithms (Course 2) , the lab involves use of TensorFlow to build a simple linear and logistic regression model but i am not able to understand how it is being used - Like i got to know it that the lab aims at telling as that TensorFlow can be used to implement neural networks and neurons but still i can’t get the intuition . Any alternatives for this that might help?
~Kay

Did you attend any of the introductory courses where TensorFlow is presented? The Machine Learning Specialization covers the basics of TensorFlow.

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Thats what i am asking about? I dont know how does it work so i needed your advice on if you know any alternative resources for tf introduction

Tensorflow Developer Specialization also covers it but you need to do the Deep Learning Specialization before you do that. Its better to start with what Tom says above.

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That’s what i am asking , i can’t understand what Tom is suggesting me to do? Sorry if i am troubling

Check either in Coursera or here at this page the specializations I am suggesting and he is suggesting! Thats all we are saying here.

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alright thnks